Is C++ useful for data science?

Learning C/C++ offers excellent capabilities for building statistical and data tools. These will translate well to Python and scale well for performance-based applications. C/C++ is also surprisingly useful because it compiles data quickly.

Is SAS a dying company?

Although SAS is being phased out, it is going to be around for a lot longer, and probably stay around in some ways. However, there are so many other things to learn than SAS about Data Science.

How many months will it take to learn data science?

On average, it takes approximately 6 to 7 months for an individual to become moderately proficient in the field of data science. However, by having a well-structured and thought through plan, and by committing yourself to it, you can considerably expedite this learning process and timeline.

How did you transition from being a mainframe programmer to data scientist?

I had two stages of transition from being a mainframe programmer to getting into data sciences – First one was undergoing a one year programme and the other being the challenges that I face during the day to day work.

Is it possible to learn all the skills sets in data science?

To learn ALL the skills sets in data science is next to impossible as the scope is way too wide. There’ll always be some skills (technical/non-technical) that data scientists don’t know or haven’t learned as different businesses require different skill sets.

Are You struggling to get a job as a data scientist?

The bad news is: With rising job opportunities in data science, still, a lot of aspiring data scientists are facing challenges in getting their foot in the door simply because of their lack of data science skills gap relative to the requirements in the current job market.

Are you prepared to crack a data science interview?

Whether you’re a fresher, a mid-career transitioner, or considering a late career switch, you need to be extremely well prepared to crack data science interviews. That’s what we aim to help you do in the ‘Ace Data Science Interviews‘ course!